houmo-ai

将 xhquant_llm 模型家族迁移到 xh2modelzoo 的 LLMConverter 架构，并完成 converter/convert_config、architecture 注册、examples 导出脚本与 hmonnx 验证闭环。当用户要求把已有 xhquant_llm 模型同步到 xh2modelzoo、补齐 xh2modelzoo 缺失模型支持、排查迁移后导出或推理失败时使用。

Review repository code changes with a findings-first focus on correctness, regressions, compatibility, and missing validation. Use for code review, risk review, or model adaptation review requests.

Build or update example scripts for adapted LLM and VLM models, covering export, generate, and optional quant flows in the style used by this repository.

Review whether an adapted transformers LLM or VLM model is compatible with the xhmodel_merak architecture. Focus on wrapper registration, graph_forward legality, cache flow, and output contracts.

Convert a Hugging Face transformers text model or multimodal model into an xhquant-callable and executable graph by following the wrapper, graph_forward, frontend, HMONNX, and runtime-contract patterns used by qwen3_legacy, qwen3_vl, and qwen3_5.

用于生成、修改、重构和检查 imodelzoo 大模型示例 README，统一结构、命名、章节顺序、示例命令和免责声明格式。适用于 LLM、VLM、ASR、TTS、Embedding、Reranker、OCR、Omni 等大模型示例目录。

为 imodelzoo 中指定模型生成 `tests/models_tests` 风格的 pytest 测例，包括模型配置 JSON、pytest 入口、marker 注册、`imodelExampleConfig.yaml` 聚合配置。适用于新增模型测例、补齐 get_model/quant/compile/demo/perf/eval/compare 流程。